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| 专家视图与本体视图的语义映射方法 |
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陈德彦1,2,3, 赵宏1,2,3, 张霞1,2,4,3
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1.东北大学 计算机科学与工程学院, 辽宁 沈阳 110819;2.计算机软件国家工程研究中心(东北大学), 辽宁 沈阳 110179;3.东软集团股份有限公司, 辽宁 沈阳 110179;4.沈阳东软智能医疗科技研究院有限公司, 辽宁 沈阳 110179
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| 摘要: |
| 由于本体具有强大的知识表示和推理能力，本体已经在很多领域得到了广泛应用.然而，本体的深入应用还面临着很多深层次的共性语义映问题，已有的本体建模方法仅仅提出了一些简单的指导原则和基本步骤，使得知识工程师仍然无从下手.在基于领域专家知识构建领域语义知识库时，针对领域专家知识中的一词多义、多元关系和安全需求等3类共性语义映射问题，从5个方面展开了深入研究，提出了相应的语义映射方法，总结了10条本体建模约定.最后构建了一个完整的应用案例，并对所提出的5类语义映射方法进行了评价. |
| 关键词: 本体 领域语义知识库 专家视图 本体视图 语义映射 问题求解 |
| DOI：10.13328/j.cnki.jos.005820 |
| 分类号: |
| 基金项目:国家自然科学基金（61232015）；国家高技术研究发展计划（863）（2015AA020103）；国家重点研发计划（2016YFC 1303000）；沈阳东软智能医疗科技研究院有限公司开放课题基金（NRIHTOP1802） |
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| Semantic Mapping Methods Between Expert View and Ontology View |
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CHEN De-Yan1,2,3, ZHAO Hong1,2,3, ZHANG Xia1,2,4,3
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1.School of Computer Science&Engineering, Northeastern University, Shenyang 110819, China;2.National Engineering Research Center for Computer Software(Northeastern University), Shenyang 110179, China;3.Neusoft Corporation, Shenyang 110179, China;4.Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang 110179, China
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| Abstract: |
| Due to the powerful knowledge representation and reasoning ability, the ontology has been widely used in many domains. Nevertheless, the in-depth application of the ontology still faces many deep common semantic mapping problems. The existing ontology modeling methods only propose some simple guiding principles and basic steps, so that knowledge engineers still have no way to start. When constructing the domain semantic knowledge base based on the domain expert knowledge, the three types of common semantic mapping problems in the domain expert knowledge, such as polysemy, n-ary relationships, and security requirements, are studied in depth from five aspects, the corresponding semantic mapping methods are proposed, and 10 ontology modeling conventions are summarized. Finally, a complete application case is constructed and the five types of semantic mapping methods proposed in this study are evaluated. |
| Key words: ontology domain semantic knowledge base expert view ontology view semantic mapping problem solving |
